--------------------------------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  C:\Users\Scott\Documents\1805 Roadmaps\Table A5.log
  log type:  text
 opened on:   6 Jun 2018, 14:53:36

. 
. set seed X075bcd151f123bb5159a55e50022865700043e55

. 
. 
. probit vote_leemar ///
>      con_lo con_lo_D1 ///
>      vgd_lo vgd_lo_D1 ///
>      pty_lo pty_lo_D1 ///
>      psi_lo psi_lo_D1 ///
>      psp_lo psp_lo_D1 ///
>      con_hi con_hi_D1 ///
>      vgd_hi vgd_hi_D1 ///
>      pty_hi pty_hi_D1 ///
>      psi_hi psi_hi_D1 ///
>      psp_hi psp_hi_D1 ///
>      , noconstant

Iteration 0:   log likelihood = -238.44263  
Iteration 1:   log likelihood = -192.07554  
Iteration 2:   log likelihood = -190.56662  
Iteration 3:   log likelihood = -190.54508  
Iteration 4:   log likelihood = -190.54506  
Iteration 5:   log likelihood = -190.54506  

Probit regression                                 Number of obs   =        344
                                                  Wald chi2(20)   =      69.27
Log likelihood = -190.54506                       Prob > chi2     =     0.0000

------------------------------------------------------------------------------
 vote_leemar |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      con_lo |  -.0449316   .2561388    -0.18   0.861    -.5469544    .4570913
   con_lo_D1 |  -.1175553   .3454084    -0.34   0.734    -.7945433    .5594326
      vgd_lo |   .0047196   .2566793     0.02   0.985    -.4983627    .5078018
   vgd_lo_D1 |   .8002449   .3169666     2.52   0.012     .1790017    1.421488
      pty_lo |  -.7876884   .4072085    -1.93   0.053    -1.585802    .0104255
   pty_lo_D1 |   1.045066   .4430091     2.36   0.018     .1767836    1.913348
      psi_lo |  -.4358766   .2852263    -1.53   0.126    -.9949099    .1231568
   psi_lo_D1 |   .7666619     .41514     1.85   0.065    -.0469974    1.580321
      psp_lo |  -.5875917   .2594507    -2.26   0.024    -1.096106   -.0790776
   psp_lo_D1 |   .7489899   .3311777     2.26   0.024     .0998935    1.398086
      con_hi |  -1.395795   .5115814    -2.73   0.006    -2.398476   -.3931141
   con_hi_D1 |   1.285986   .5383003     2.39   0.017     .2309369    2.341035
      vgd_hi |  -.8180106     .29752    -2.75   0.006    -1.401139   -.2348822
   vgd_hi_D1 |   .9167906   .3483162     2.63   0.008     .2341035    1.599478
      pty_hi |  -1.387939   .4866857    -2.85   0.004    -2.341826    -.434053
   pty_hi_D1 |   1.503942   .5045955     2.98   0.003     .5149527    2.492931
      psi_hi |  -.4950172   .2674477    -1.85   0.064    -1.019205    .0291706
   psi_hi_D1 |   .8741068    .301658     2.90   0.004     .2828681    1.465346
      psp_hi |  -1.373693    .435412    -3.15   0.002    -2.227085   -.5203012
   psp_hi_D1 |   .7145104   .3922249     1.82   0.069    -.0542363    1.483257
------------------------------------------------------------------------------

. 
. tabstat d1 if e(sample), s(n mean sd min p25 p50 p75 max)

    variable |         N      mean        sd       min       p25       p50       p75       max
-------------+--------------------------------------------------------------------------------
          d1 |       344   .482125  .7398629    -1.848     .0415      .486     1.026     1.978
----------------------------------------------------------------------------------------------

. 
. 
. estsimp probit vote_leemar ///
>      con_lo con_lo_D1 ///
>      vgd_lo vgd_lo_D1 ///
>      pty_lo pty_lo_D1 ///
>      psi_lo psi_lo_D1 ///
>      psp_lo psp_lo_D1 ///
>      con_hi con_hi_D1 ///
>      vgd_hi vgd_hi_D1 ///
>      pty_hi pty_hi_D1 ///
>      psi_hi psi_hi_D1 ///
>      psp_hi psp_hi_D1 ///
>      , noconstant

Iteration 0:   log likelihood = -238.44263
Iteration 1:   log likelihood =  -193.7876
Iteration 2:   log likelihood = -190.76302
Iteration 3:   log likelihood = -190.54714
Iteration 4:   log likelihood = -190.54506
Iteration 5:   log likelihood = -190.54506

Probit regression                                 Number of obs   =        344
                                                  LR chi2(20)     =          .
Log likelihood = -190.54506                       Prob > chi2     =          .

------------------------------------------------------------------------------
 vote_leemar |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      con_lo |  -.0449316   .2561388    -0.18   0.861    -.5469544    .4570913
   con_lo_D1 |  -.1175553   .3454084    -0.34   0.734    -.7945433    .5594326
      vgd_lo |   .0047196   .2566793     0.02   0.985    -.4983627    .5078018
   vgd_lo_D1 |   .8002449   .3169666     2.52   0.012     .1790017    1.421488
      pty_lo |  -.7876884   .4072085    -1.93   0.053    -1.585802    .0104255
   pty_lo_D1 |   1.045066   .4430091     2.36   0.018     .1767836    1.913348
      psi_lo |  -.4358766   .2852263    -1.53   0.126    -.9949099    .1231568
   psi_lo_D1 |   .7666619     .41514     1.85   0.065    -.0469974    1.580321
      psp_lo |  -.5875917   .2594507    -2.26   0.024    -1.096106   -.0790776
   psp_lo_D1 |   .7489899   .3311777     2.26   0.024     .0998935    1.398086
      con_hi |  -1.395795   .5115814    -2.73   0.006    -2.398476   -.3931141
   con_hi_D1 |   1.285986   .5383003     2.39   0.017     .2309369    2.341035
      vgd_hi |  -.8180106     .29752    -2.75   0.006    -1.401139   -.2348822
   vgd_hi_D1 |   .9167906   .3483162     2.63   0.008     .2341035    1.599478
      pty_hi |  -1.387939   .4866857    -2.85   0.004    -2.341826    -.434053
   pty_hi_D1 |   1.503942   .5045955     2.98   0.003     .5149527    2.492931
      psi_hi |  -.4950172   .2674477    -1.85   0.064    -1.019205    .0291706
   psi_hi_D1 |   .8741068    .301658     2.90   0.004     .2828681    1.465346
      psp_hi |  -1.373693    .435412    -3.15   0.002    -2.227085   -.5203012
   psp_hi_D1 |   .7145104   .3922249     1.82   0.069    -.0542363    1.483257
------------------------------------------------------------------------------

Simulating main parameters.  Please wait....

Note: Clarify is expanding your dataset from 383 observations to 1000
observations in order to accommodate the simulations.  This will append
missing values to the bottom of your original dataset.

% of simulations completed: 5% 10% 15% 20% 25% 30% 35% 40% 45% 50% 55% 60% 65% 70% 75% 80% 85% 90% 95% 100% 

Number of simulations  : 1000
Names of new variables : b1 b2 b3 b4 b5 b6 b7 b8 b9 b10 b11 b12 b13 b14 b15 b16 b17 b18 b19 b20

. 
. 
. * Low-knowledge
. 
. setx median

. setx con_lo 1

. setx con_lo_D1 .486

. simqi, pr listx

You have set the following values for the explanatory variables:

------------------------------------
 Variable |    Value     Description
----------+-------------------------
   con_hi |         0       median  
con_hi_D1 |         0       median  
   con_lo |         1         1     
con_lo_D1 |      .486        .486   
   psi_hi |         0       median  
psi_hi_D1 |         0       median  
   psi_lo |         0       median  
psi_lo_D1 |         0       median  
   psp_hi |         0       median  
psp_hi_D1 |         0       median  
   psp_lo |         0       median  
psp_lo_D1 |         0       median  
   pty_hi |         0       median  
pty_hi_D1 |         0       median  
   pty_lo |         0       median  
pty_lo_D1 |         0       median  
   vgd_hi |         0       median  
vgd_hi_D1 |         0       median  
   vgd_lo |         0       median  
vgd_lo_D1 |         0       median  
------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .5384139     .0910651     .3619745    .7204705
            Pr(vote_l~r=1) |   .4615861     .0910651     .2795295    .6380255

. 
. simqi, fd(prval(1) genpr(fd_con)) changex(con_lo_D1 .0415 1.026)

First Difference: con_lo_D1 .0415 1.026

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |  -.0411724     .1277269    -.2872083    .2082651

Simqi generated the following new variable(s): fd_con

. 
. 
. setx con_lo_D1 0

. simqi, pr listx

You have set the following values for the explanatory variables:

------------------------------------
 Variable |    Value     Description
----------+-------------------------
   con_hi |         0       median  
con_hi_D1 |         0       median  
   con_lo |         1         1     
con_lo_D1 |         0         0     
   psi_hi |         0       median  
psi_hi_D1 |         0       median  
   psi_lo |         0       median  
psi_lo_D1 |         0       median  
   psp_hi |         0       median  
psp_hi_D1 |         0       median  
   psp_lo |         0       median  
psp_lo_D1 |         0       median  
   pty_hi |         0       median  
pty_hi_D1 |         0       median  
   pty_lo |         0       median  
pty_lo_D1 |         0       median  
   vgd_hi |         0       median  
vgd_hi_D1 |         0       median  
   vgd_lo |         0       median  
vgd_lo_D1 |         0       median  
------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .5172253     .0992492     .3265894    .7112347
            Pr(vote_l~r=1) |   .4827747     .0992492     .2887653    .6734106

. 
. simqi, fd(prval(1) genpr(tr_vgd_con)) changex(con_lo 1 0 vgd_lo 0 1)

First Difference: con_lo 1 0 vgd_lo 0 1

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .0228855     .1364478    -.2320628    .2861219

Simqi generated the following new variable(s): tr_vgd_con

. simqi, fd(prval(1) genpr(tr_pty_con)) changex(con_lo 1 0 pty_lo 0 1)

First Difference: con_lo 1 0 pty_lo 0 1

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   -.247043     .1543967    -.5103248    .0949976

Simqi generated the following new variable(s): tr_pty_con

. simqi, fd(prval(1) genpr(tr_psi_con)) changex(con_lo 1 0 psi_lo 0 1)

First Difference: con_lo 1 0 psi_lo 0 1

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   -.145631     .1380092     -.406676    .1204536

Simqi generated the following new variable(s): tr_psi_con

. simqi, fd(prval(1) genpr(tr_psp_con)) changex(con_lo 1 0 psp_lo 0 1)

First Difference: con_lo 1 0 psp_lo 0 1

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |  -.1986818     .1330229    -.4430536    .0623585

Simqi generated the following new variable(s): tr_psp_con

. 
. 
. setx median

. setx vgd_lo 1

. setx vgd_lo_D1 .486

. simqi, pr listx

You have set the following values for the explanatory variables:

------------------------------------
 Variable |    Value     Description
----------+-------------------------
   con_hi |         0       median  
con_hi_D1 |         0       median  
   con_lo |         0       median  
con_lo_D1 |         0       median  
   psi_hi |         0       median  
psi_hi_D1 |         0       median  
   psi_lo |         0       median  
psi_lo_D1 |         0       median  
   psp_hi |         0       median  
psp_hi_D1 |         0       median  
   psp_lo |         0       median  
psp_lo_D1 |         0       median  
   pty_hi |         0       median  
pty_hi_D1 |         0       median  
   pty_lo |         0       median  
pty_lo_D1 |         0       median  
   vgd_hi |         0       median  
vgd_hi_D1 |         0       median  
   vgd_lo |         1         1     
vgd_lo_D1 |      .486        .486   
------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .3500752     .0839553     .1994842     .523712
            Pr(vote_l~r=1) |   .6499248     .0839553      .476288    .8005158

. 
. simqi, fd(prval(1) genpr(fd_vgd)) changex(vgd_lo_D1 .0415 1.026)

First Difference: vgd_lo_D1 .0415 1.026

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .2647744     .0982221       .07381    .4567743

Simqi generated the following new variable(s): fd_vgd

. 
. 
. setx vgd_lo_D1 0

. simqi, pr listx

You have set the following values for the explanatory variables:

------------------------------------
 Variable |    Value     Description
----------+-------------------------
   con_hi |         0       median  
con_hi_D1 |         0       median  
   con_lo |         0       median  
con_lo_D1 |         0       median  
   psi_hi |         0       median  
psi_hi_D1 |         0       median  
   psi_lo |         0       median  
psi_lo_D1 |         0       median  
   psp_hi |         0       median  
psp_hi_D1 |         0       median  
   psp_lo |         0       median  
psp_lo_D1 |         0       median  
   pty_hi |         0       median  
pty_hi_D1 |         0       median  
   pty_lo |         0       median  
pty_lo_D1 |         0       median  
   vgd_hi |         0       median  
vgd_hi_D1 |         0       median  
   vgd_lo |         1         1     
vgd_lo_D1 |         0         0     
------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .4943398      .097998     .3083941    .6859021
            Pr(vote_l~r=1) |   .5056602      .097998     .3140979    .6916059

. 
. simqi, fd(prval(1) genpr(tr_pty_vgd)) changex(vgd_lo 1 0 pty_lo 0 1)

First Difference: vgd_lo 1 0 pty_lo 0 1

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |  -.2699285     .1513927    -.5307825    .0471015

Simqi generated the following new variable(s): tr_pty_vgd

. simqi, fd(prval(1) genpr(tr_psi_vgd)) changex(vgd_lo 1 0 psi_lo 0 1)

First Difference: vgd_lo 1 0 psi_lo 0 1

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |  -.1685165     .1395551    -.4387356    .1103359

Simqi generated the following new variable(s): tr_psi_vgd

. simqi, fd(prval(1) genpr(tr_psp_vgd)) changex(vgd_lo 1 0 psp_lo 0 1)

First Difference: vgd_lo 1 0 psp_lo 0 1

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |  -.2215672     .1302907    -.4733569    .0337976

Simqi generated the following new variable(s): tr_psp_vgd

. 
. 
. setx median

. setx pty_lo 1

. setx pty_lo_D1 .486

. simqi, pr listx

You have set the following values for the explanatory variables:

------------------------------------
 Variable |    Value     Description
----------+-------------------------
   con_hi |         0       median  
con_hi_D1 |         0       median  
   con_lo |         0       median  
con_lo_D1 |         0       median  
   psi_hi |         0       median  
psi_hi_D1 |         0       median  
   psi_lo |         0       median  
psi_lo_D1 |         0       median  
   psp_hi |         0       median  
psp_hi_D1 |         0       median  
   psp_lo |         0       median  
psp_lo_D1 |         0       median  
   pty_hi |         0       median  
pty_hi_D1 |         0       median  
   pty_lo |         1         1     
pty_lo_D1 |      .486        .486   
   vgd_hi |         0       median  
vgd_hi_D1 |         0       median  
   vgd_lo |         0       median  
vgd_lo_D1 |         0       median  
------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .6055789     .1046186     .3990625    .7998624
            Pr(vote_l~r=1) |   .3944211     .1046186     .2001376    .6009375

. 
. simqi, fd(prval(1) genpr(fd_pty)) changex(pty_lo_D1 .0415 1.026)

First Difference: pty_lo_D1 .0415 1.026

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .3579946     .1461911     .0484333    .6099969

Simqi generated the following new variable(s): fd_pty

. 
. 
. setx pty_lo_D1 0

. simqi, pr listx

You have set the following values for the explanatory variables:

------------------------------------
 Variable |    Value     Description
----------+-------------------------
   con_hi |         0       median  
con_hi_D1 |         0       median  
   con_lo |         0       median  
con_lo_D1 |         0       median  
   psi_hi |         0       median  
psi_hi_D1 |         0       median  
   psi_lo |         0       median  
psi_lo_D1 |         0       median  
   psp_hi |         0       median  
psp_hi_D1 |         0       median  
   psp_lo |         0       median  
psp_lo_D1 |         0       median  
   pty_hi |         0       median  
pty_hi_D1 |         0       median  
   pty_lo |         1         1     
pty_lo_D1 |         0         0     
   vgd_hi |         0       median  
vgd_hi_D1 |         0       median  
   vgd_lo |         0       median  
vgd_lo_D1 |         0       median  
------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .7642683     .1211813     .4751935    .9456551
            Pr(vote_l~r=1) |   .2357317     .1211813     .0543449    .5248065

. 
. simqi, fd(prval(1) genpr(tr_psi_pty)) changex(pty_lo 1 0 psi_lo 0 1)

First Difference: pty_lo 1 0 psi_lo 0 1

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |    .101412     .1582153    -.2424898    .3685174

Simqi generated the following new variable(s): tr_psi_pty

. simqi, fd(prval(1) genpr(tr_psp_pty)) changex(pty_lo 1 0 psp_lo 0 1)

First Difference: pty_lo 1 0 psp_lo 0 1

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .0483612      .149263    -.2734293    .3152179

Simqi generated the following new variable(s): tr_psp_pty

. 
. 
. setx median

. setx psi_lo 1

. setx psi_lo_D1 .486

. simqi, pr listx

You have set the following values for the explanatory variables:

------------------------------------
 Variable |    Value     Description
----------+-------------------------
   con_hi |         0       median  
con_hi_D1 |         0       median  
   con_lo |         0       median  
con_lo_D1 |         0       median  
   psi_hi |         0       median  
psi_hi_D1 |         0       median  
   psi_lo |         1         1     
psi_lo_D1 |      .486        .486   
   psp_hi |         0       median  
psp_hi_D1 |         0       median  
   psp_lo |         0       median  
psp_lo_D1 |         0       median  
   pty_hi |         0       median  
pty_hi_D1 |         0       median  
   pty_lo |         0       median  
pty_lo_D1 |         0       median  
   vgd_hi |         0       median  
vgd_hi_D1 |         0       median  
   vgd_lo |         0       median  
vgd_lo_D1 |         0       median  
------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .5246465     .0866712     .3588118    .6978308
            Pr(vote_l~r=1) |   .4753535     .0866712     .3021692    .6411882

. 
. simqi, fd(prval(1) genpr(fd_psi)) changex(psi_lo_D1 .0415 1.026)

First Difference: psi_lo_D1 .0415 1.026

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .2825805     .1449253    -.0129481     .569571

Simqi generated the following new variable(s): fd_psi

. 
. 
. setx psi_lo_D1 0

. simqi, pr listx

You have set the following values for the explanatory variables:

------------------------------------
 Variable |    Value     Description
----------+-------------------------
   con_hi |         0       median  
con_hi_D1 |         0       median  
   con_lo |         0       median  
con_lo_D1 |         0       median  
   psi_hi |         0       median  
psi_hi_D1 |         0       median  
   psi_lo |         1         1     
psi_lo_D1 |         0         0     
   psp_hi |         0       median  
psp_hi_D1 |         0       median  
   psp_lo |         0       median  
psp_lo_D1 |         0       median  
   pty_hi |         0       median  
pty_hi_D1 |         0       median  
   pty_lo |         0       median  
pty_lo_D1 |         0       median  
   vgd_hi |         0       median  
vgd_hi_D1 |         0       median  
   vgd_lo |         0       median  
vgd_lo_D1 |         0       median  
------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .6628563       .09882      .461067    .8412363
            Pr(vote_l~r=1) |   .3371437       .09882     .1587637     .538933

. 
. simqi, fd(prval(1) genpr(tr_psp_psi)) changex(psi_lo 1 0 psp_lo 0 1)

First Difference: psi_lo 1 0 psp_lo 0 1

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |  -.0530507     .1342816    -.3112671    .1918652

Simqi generated the following new variable(s): tr_psp_psi

. 
. 
. setx median

. setx psp_lo 1

. setx psp_lo_D1 .486

. simqi, pr listx

You have set the following values for the explanatory variables:

------------------------------------
 Variable |    Value     Description
----------+-------------------------
   con_hi |         0       median  
con_hi_D1 |         0       median  
   con_lo |         0       median  
con_lo_D1 |         0       median  
   psi_hi |         0       median  
psi_hi_D1 |         0       median  
   psi_lo |         0       median  
psi_lo_D1 |         0       median  
   psp_hi |         0       median  
psp_hi_D1 |         0       median  
   psp_lo |         1         1     
psp_lo_D1 |      .486        .486   
   pty_hi |         0       median  
pty_hi_D1 |         0       median  
   pty_lo |         0       median  
pty_lo_D1 |         0       median  
   vgd_hi |         0       median  
vgd_hi_D1 |         0       median  
   vgd_lo |         0       median  
vgd_lo_D1 |         0       median  
------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .5873571     .0837564     .4149486    .7347056
            Pr(vote_l~r=1) |   .4126429     .0837564     .2652944    .5850514

. 
. simqi, fd(prval(1) genpr(fd_psp)) changex(psp_lo_D1 .0415 1.026)

First Difference: psp_lo_D1 .0415 1.026

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .2740811     .1176291     .0490424    .4952733

Simqi generated the following new variable(s): fd_psp

. 
. 
. setx psp_lo_D1 0

. simqi, pr listx

You have set the following values for the explanatory variables:

------------------------------------
 Variable |    Value     Description
----------+-------------------------
   con_hi |         0       median  
con_hi_D1 |         0       median  
   con_lo |         0       median  
con_lo_D1 |         0       median  
   psi_hi |         0       median  
psi_hi_D1 |         0       median  
   psi_lo |         0       median  
psi_lo_D1 |         0       median  
   psp_hi |         0       median  
psp_hi_D1 |         0       median  
   psp_lo |         1         1     
psp_lo_D1 |         0         0     
   pty_hi |         0       median  
pty_hi_D1 |         0       median  
   pty_lo |         0       median  
pty_lo_D1 |         0       median  
   vgd_hi |         0       median  
vgd_hi_D1 |         0       median  
   vgd_lo |         0       median  
vgd_lo_D1 |         0       median  
------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |    .715907     .0868558      .532064    .8663031
            Pr(vote_l~r=1) |    .284093     .0868558     .1336969     .467936

. 
. 
. * Difference in baseline probabilities
. 
. tabstat tr_vgd_con, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
  tr_vgd_con |  .0228855  .1364478 -.3174402 -.2028615 -.1542532  .0227905  .1994636  .2467808  .5962803
--------------------------------------------------------------------------------------------------------

. tabstat tr_pty_con, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
  tr_pty_con |  -.247043  .1543967 -.6959867 -.4837922 -.4394768 -.2539246 -.0558014  .0254252  .3409892
--------------------------------------------------------------------------------------------------------

. tabstat tr_psi_con, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
  tr_psi_con |  -.145631  .1380092 -.6070175 -.3648486 -.3248006 -.1440232  .0354019  .0879929   .294753
--------------------------------------------------------------------------------------------------------

. tabstat tr_psp_con, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
  tr_psp_con | -.1986818  .1330229 -.6135178 -.4145584 -.3728654 -.2008201 -.0266209  .0295606  .2453794
--------------------------------------------------------------------------------------------------------

. 
. 
. tabstat tr_pty_vgd, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
  tr_pty_vgd | -.2699285  .1513927 -.6778991  -.506285 -.4614042 -.2795282 -.0682654  -.007784  .2230848
--------------------------------------------------------------------------------------------------------

. tabstat tr_psi_vgd, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
  tr_psi_vgd | -.1685165  .1395551 -.6207132 -.3962746 -.3454861 -.1713749  .0143206  .0564642  .3437363
--------------------------------------------------------------------------------------------------------

. tabstat tr_psp_vgd, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
  tr_psp_vgd | -.2215672  .1302907 -.6981471 -.4323843 -.3825145 -.2203343 -.0480044 -.0055642  .2569222
--------------------------------------------------------------------------------------------------------

. 
. 
. tabstat tr_psi_pty, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
  tr_psi_pty |   .101412  .1582153 -.4853284 -.1792209  -.106215  .1122214  .2971425  .3423834   .566245
--------------------------------------------------------------------------------------------------------

. tabstat tr_psp_pty, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
  tr_psp_pty |  .0483612   .149263 -.5637569 -.2147984 -.1476885  .0552325  .2303492   .274367  .4380739
--------------------------------------------------------------------------------------------------------

. 
. 
. tabstat tr_psp_psi, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
  tr_psp_psi | -.0530507  .1342816 -.5450605 -.2821612 -.2241897 -.0468261  .1194776  .1604987  .3751173
--------------------------------------------------------------------------------------------------------

. 
. 
. * Calculate difference in first differences
. 
. gen dif_vgd_con = fd_vgd - fd_con

. gen dif_pty_con = fd_pty - fd_con

. gen dif_psi_con = fd_psi - fd_con

. gen dif_psp_con = fd_psp - fd_con

. 
. tabstat dif_vgd_con, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 dif_vgd_con |  .3059468  .1602181 -.2124901  .0392855  .0984235  .3008534  .5126669  .5675145  .7647889
--------------------------------------------------------------------------------------------------------

. tabstat dif_pty_con, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 dif_pty_con |  .3991669  .1858834 -.2126857  .0906526  .1540785  .3989728  .6363618  .7047002  .9813473
--------------------------------------------------------------------------------------------------------

. tabstat dif_psi_con, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 dif_psi_con |  .3237529   .192874 -.4417236  .0167568  .0886254  .3202079  .5679715  .6441047  .9586589
--------------------------------------------------------------------------------------------------------

. tabstat dif_psp_con, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 dif_psp_con |  .3152535  .1692577 -.2158653  .0338523  .0889827  .3244361    .52202     .5865  .9338973
--------------------------------------------------------------------------------------------------------

. 
. 
. gen dif_pty_vgd = fd_pty - fd_vgd

. gen dif_psi_vgd = fd_psi - fd_vgd

. gen dif_psp_vgd = fd_psp - fd_vgd

. 
. tabstat dif_pty_vgd, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 dif_pty_vgd |  .0932201  .1741381  -.642254 -.2024978 -.1419683   .105222  .3019322  .3648586  .5713646
--------------------------------------------------------------------------------------------------------

. tabstat dif_psi_vgd, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 dif_psi_vgd |  .0178061  .1797095 -.5437979 -.2955591 -.2208229  .0231911  .2438537  .3113352  .5726207
--------------------------------------------------------------------------------------------------------

. tabstat dif_psp_vgd, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 dif_psp_vgd |  .0093067  .1535046 -.4912059 -.2531748 -.1919168  .0177581  .1980564  .2638075  .5558232
--------------------------------------------------------------------------------------------------------

. 
. 
. gen dif_psi_pty = fd_psi - fd_pty

. gen dif_psp_pty = fd_psp - fd_pty

. 
. tabstat dif_psi_pty, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 dif_psi_pty |  -.075414  .2088056  -.634352 -.4185475 -.3350911 -.0778221  .1938473  .2628938  .6364223
--------------------------------------------------------------------------------------------------------

. tabstat dif_psp_pty, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 dif_psp_pty | -.0839134  .1869547 -.7431326 -.3725813 -.3157094 -.0875071  .1626904  .2481318  .4855723
--------------------------------------------------------------------------------------------------------

. 
. 
. gen dif_psp_psi = fd_psp - fd_psi

. 
. tabstat dif_psp_psi, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 dif_psp_psi | -.0084994  .1906871 -.4899265 -.3194419 -.2576467 -.0052677  .2431246  .3027934   .614326
--------------------------------------------------------------------------------------------------------

. 
. 
. * High-knowledge
. 
. setx median

. setx con_hi 1

. setx con_hi_D1 .486

. simqi, pr listx

You have set the following values for the explanatory variables:

------------------------------------
 Variable |    Value     Description
----------+-------------------------
   con_hi |         1         1     
con_hi_D1 |      .486        .486   
   con_lo |         0       median  
con_lo_D1 |         0       median  
   psi_hi |         0       median  
psi_hi_D1 |         0       median  
   psi_lo |         0       median  
psi_lo_D1 |         0       median  
   psp_hi |         0       median  
psp_hi_D1 |         0       median  
   psp_lo |         0       median  
psp_lo_D1 |         0       median  
   pty_hi |         0       median  
pty_hi_D1 |         0       median  
   pty_lo |         0       median  
pty_lo_D1 |         0       median  
   vgd_hi |         0       median  
vgd_hi_D1 |         0       median  
   vgd_lo |         0       median  
vgd_lo_D1 |         0       median  
------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .7707922     .0908715     .5683946    .9132962
            Pr(vote_l~r=1) |   .2292078     .0908715     .0867038    .4316054

. 
. simqi, fd(prval(1) genpr(fd_con_hi)) changex(con_hi_D1 .0415 1.026)

First Difference: con_hi_D1 .0415 1.026

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .3583788     .1316331     .1022112    .6014102

Simqi generated the following new variable(s): fd_con_hi

. 
. 
. setx con_hi_D1 0

. simqi, pr listx

You have set the following values for the explanatory variables:

------------------------------------
 Variable |    Value     Description
----------+-------------------------
   con_hi |         1         1     
con_hi_D1 |         0         0     
   con_lo |         0       median  
con_lo_D1 |         0       median  
   psi_hi |         0       median  
psi_hi_D1 |         0       median  
   psi_lo |         0       median  
psi_lo_D1 |         0       median  
   psp_hi |         0       median  
psp_hi_D1 |         0       median  
   psp_lo |         0       median  
psp_lo_D1 |         0       median  
   pty_hi |         0       median  
pty_hi_D1 |         0       median  
   pty_lo |         0       median  
pty_lo_D1 |         0       median  
   vgd_hi |         0       median  
vgd_hi_D1 |         0       median  
   vgd_lo |         0       median  
vgd_lo_D1 |         0       median  
------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .8955798     .0876437     .6649201    .9909723
            Pr(vote_l~r=1) |   .1044202     .0876437     .0090277    .3350799

. 
. simqi, fd(prval(1) genpr(tr_vgd_con_hi)) changex(con_hi 1 0 vgd_hi 0 1)

First Difference: con_hi 1 0 vgd_hi 0 1

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .1185833     .1227687     -.156517    .3447853

Simqi generated the following new variable(s): tr_vgd_con_hi

. simqi, fd(prval(1) genpr(tr_pty_con_hi)) changex(con_hi 1 0 pty_hi 0 1)

First Difference: con_hi 1 0 pty_hi 0 1

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .0012824     .1208083    -.2612738    .2534293

Simqi generated the following new variable(s): tr_pty_con_hi

. simqi, fd(prval(1) genpr(tr_psi_con_hi)) changex(con_hi 1 0 psi_hi 0 1)

First Difference: con_hi 1 0 psi_hi 0 1

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .2142555     .1289066    -.0758503    .4360841

Simqi generated the following new variable(s): tr_psi_con_hi

. simqi, fd(prval(1) genpr(tr_psp_con_hi)) changex(con_hi 1 0 psp_hi 0 1)

First Difference: con_hi 1 0 psp_hi 0 1

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |  -.0017579     .1158177    -.2496385     .233124

Simqi generated the following new variable(s): tr_psp_con_hi

. 
. 
. setx median

. setx vgd_hi 1

. setx vgd_hi_D1 .486

. simqi, pr listx

You have set the following values for the explanatory variables:

------------------------------------
 Variable |    Value     Description
----------+-------------------------
   con_hi |         0       median  
con_hi_D1 |         0       median  
   con_lo |         0       median  
con_lo_D1 |         0       median  
   psi_hi |         0       median  
psi_hi_D1 |         0       median  
   psi_lo |         0       median  
psi_lo_D1 |         0       median  
   psp_hi |         0       median  
psp_hi_D1 |         0       median  
   psp_lo |         0       median  
psp_lo_D1 |         0       median  
   pty_hi |         0       median  
pty_hi_D1 |         0       median  
   pty_lo |         0       median  
pty_lo_D1 |         0       median  
   vgd_hi |         1         1     
vgd_hi_D1 |      .486        .486   
   vgd_lo |         0       median  
vgd_lo_D1 |         0       median  
------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .6377329      .085104     .4493576    .7917565
            Pr(vote_l~r=1) |   .3622671      .085104     .2082435    .5506424

. 
. simqi, fd(prval(1) genpr(fd_vgd_hi)) changex(vgd_hi_D1 .0415 1.026)

First Difference: vgd_hi_D1 .0415 1.026

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .3126664     .1120556     .0746368    .5234361

Simqi generated the following new variable(s): fd_vgd_hi

. 
. 
. setx vgd_hi_D1 0

. simqi, pr listx

You have set the following values for the explanatory variables:

------------------------------------
 Variable |    Value     Description
----------+-------------------------
   con_hi |         0       median  
con_hi_D1 |         0       median  
   con_lo |         0       median  
con_lo_D1 |         0       median  
   psi_hi |         0       median  
psi_hi_D1 |         0       median  
   psi_lo |         0       median  
psi_lo_D1 |         0       median  
   psp_hi |         0       median  
psp_hi_D1 |         0       median  
   psp_lo |         0       median  
psp_lo_D1 |         0       median  
   pty_hi |         0       median  
pty_hi_D1 |         0       median  
   pty_lo |         0       median  
pty_lo_D1 |         0       median  
   vgd_hi |         1         1     
vgd_hi_D1 |         0         0     
   vgd_lo |         0       median  
vgd_lo_D1 |         0       median  
------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .7769964     .0872423     .5740741     .912113
            Pr(vote_l~r=1) |   .2230036     .0872423      .087887    .4259259

. 
. simqi, fd(prval(1) genpr(tr_pty_vgd_hi)) changex(vgd_hi 1 0 pty_hi 0 1)

First Difference: vgd_hi 1 0 pty_hi 0 1

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   -.117301     .1217588    -.3575533    .1408233

Simqi generated the following new variable(s): tr_pty_vgd_hi

. simqi, fd(prval(1) genpr(tr_psi_vgd_hi)) changex(vgd_hi 1 0 psi_hi 0 1)

First Difference: vgd_hi 1 0 psi_hi 0 1

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .0956722     .1231661    -.1541981    .3212253

Simqi generated the following new variable(s): tr_psi_vgd_hi

. simqi, fd(prval(1) genpr(tr_psp_vgd_hi)) changex(vgd_hi 1 0 psp_hi 0 1)

First Difference: vgd_hi 1 0 psp_hi 0 1

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |  -.1203413      .115983    -.3637049    .1039634

Simqi generated the following new variable(s): tr_psp_vgd_hi

. 
. 
. setx median

. setx pty_hi 1

. setx pty_hi_D1 .486

. simqi, pr listx

You have set the following values for the explanatory variables:

------------------------------------
 Variable |    Value     Description
----------+-------------------------
   con_hi |         0       median  
con_hi_D1 |         0       median  
   con_lo |         0       median  
con_lo_D1 |         0       median  
   psi_hi |         0       median  
psi_hi_D1 |         0       median  
   psi_lo |         0       median  
psi_lo_D1 |         0       median  
   psp_hi |         0       median  
psp_hi_D1 |         0       median  
   psp_lo |         0       median  
psp_lo_D1 |         0       median  
   pty_hi |         1         1     
pty_hi_D1 |      .486        .486   
   pty_lo |         0       median  
pty_lo_D1 |         0       median  
   vgd_hi |         0       median  
vgd_hi_D1 |         0       median  
   vgd_lo |         0       median  
vgd_lo_D1 |         0       median  
------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .7352237     .0997836     .5313262    .9053998
            Pr(vote_l~r=1) |   .2647763     .0997836     .0946002    .4686738

. 
. simqi, fd(prval(1) genpr(fd_pty_hi)) changex(pty_hi_D1 .0415 1.026)

First Difference: pty_hi_D1 .0415 1.026

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .4440761     .1279938     .1747073    .6772112

Simqi generated the following new variable(s): fd_pty_hi

. 
. 
. setx pty_hi_D1 0

. simqi, pr listx

You have set the following values for the explanatory variables:

------------------------------------
 Variable |    Value     Description
----------+-------------------------
   con_hi |         0       median  
con_hi_D1 |         0       median  
   con_lo |         0       median  
con_lo_D1 |         0       median  
   psi_hi |         0       median  
psi_hi_D1 |         0       median  
   psi_lo |         0       median  
psi_lo_D1 |         0       median  
   psp_hi |         0       median  
psp_hi_D1 |         0       median  
   psp_lo |         0       median  
psp_lo_D1 |         0       median  
   pty_hi |         1         1     
pty_hi_D1 |         0         0     
   pty_lo |         0       median  
pty_lo_D1 |         0       median  
   vgd_hi |         0       median  
vgd_hi_D1 |         0       median  
   vgd_lo |         0       median  
vgd_lo_D1 |         0       median  
------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .8942974     .0845195     .6714129     .990504
            Pr(vote_l~r=1) |   .1057026     .0845195      .009496    .3285871

. 
. simqi, fd(prval(1) genpr(tr_psi_pty_hi)) changex(pty_hi 1 0 psi_hi 0 1)

First Difference: pty_hi 1 0 psi_hi 0 1

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .2129731     .1222454    -.0411202    .4299786

Simqi generated the following new variable(s): tr_psi_pty_hi

. simqi, fd(prval(1) genpr(tr_psp_pty_hi)) changex(pty_hi 1 0 psp_hi 0 1)

First Difference: pty_hi 1 0 psp_hi 0 1

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |  -.0030403     .1111775    -.2419613    .2273737

Simqi generated the following new variable(s): tr_psp_pty_hi

. 
. 
. setx median

. setx psi_hi 1

. setx psi_hi_D1 .486

. simqi, pr listx

You have set the following values for the explanatory variables:

------------------------------------
 Variable |    Value     Description
----------+-------------------------
   con_hi |         0       median  
con_hi_D1 |         0       median  
   con_lo |         0       median  
con_lo_D1 |         0       median  
   psi_hi |         1         1     
psi_hi_D1 |      .486        .486   
   psi_lo |         0       median  
psi_lo_D1 |         0       median  
   psp_hi |         0       median  
psp_hi_D1 |         0       median  
   psp_lo |         0       median  
psp_lo_D1 |         0       median  
   pty_hi |         0       median  
pty_hi_D1 |         0       median  
   pty_lo |         0       median  
pty_lo_D1 |         0       median  
   vgd_hi |         0       median  
vgd_hi_D1 |         0       median  
   vgd_lo |         0       median  
vgd_lo_D1 |         0       median  
------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .5265547     .0816313     .3616476    .6798975
            Pr(vote_l~r=1) |   .4734453     .0816313     .3201025    .6383524

. 
. simqi, fd(prval(1) genpr(fd_psi_hi)) changex(psi_hi_D1 .0415 1.026)

First Difference: psi_hi_D1 .0415 1.026

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |    .319262     .1031749     .1168066    .5181392

Simqi generated the following new variable(s): fd_psi_hi

. 
. 
. setx psi_hi_D1 0

. simqi, pr listx

You have set the following values for the explanatory variables:

------------------------------------
 Variable |    Value     Description
----------+-------------------------
   con_hi |         0       median  
con_hi_D1 |         0       median  
   con_lo |         0       median  
con_lo_D1 |         0       median  
   psi_hi |         1         1     
psi_hi_D1 |         0         0     
   psi_lo |         0       median  
psi_lo_D1 |         0       median  
   psp_hi |         0       median  
psp_hi_D1 |         0       median  
   psp_lo |         0       median  
psp_lo_D1 |         0       median  
   pty_hi |         0       median  
pty_hi_D1 |         0       median  
   pty_lo |         0       median  
pty_lo_D1 |         0       median  
   vgd_hi |         0       median  
vgd_hi_D1 |         0       median  
   vgd_lo |         0       median  
vgd_lo_D1 |         0       median  
------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .6813243     .0895846     .5052639    .8508504
            Pr(vote_l~r=1) |   .3186757     .0895846     .1491496    .4947361

. 
. simqi, fd(prval(1) genpr(tr_psp_psi_hi)) changex(psi_hi 1 0 psp_hi 0 1)

First Difference: psi_hi 1 0 psp_hi 0 1

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |  -.2160134     .1174487      -.42412    .0242465

Simqi generated the following new variable(s): tr_psp_psi_hi

. 
. 
. setx median

. setx psp_hi 1

. setx psp_hi_D1 .486

. simqi, pr listx

You have set the following values for the explanatory variables:

------------------------------------
 Variable |    Value     Description
----------+-------------------------
   con_hi |         0       median  
con_hi_D1 |         0       median  
   con_lo |         0       median  
con_lo_D1 |         0       median  
   psi_hi |         0       median  
psi_hi_D1 |         0       median  
   psi_lo |         0       median  
psi_lo_D1 |         0       median  
   psp_hi |         1         1     
psp_hi_D1 |      .486        .486   
   psp_lo |         0       median  
psp_lo_D1 |         0       median  
   pty_hi |         0       median  
pty_hi_D1 |         0       median  
   pty_lo |         0       median  
pty_lo_D1 |         0       median  
   vgd_hi |         0       median  
vgd_hi_D1 |         0       median  
   vgd_lo |         0       median  
vgd_lo_D1 |         0       median  
------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .8385371     .0726466     .6564132    .9464147
            Pr(vote_l~r=1) |   .1614629     .0726466     .0535853    .3435868

. 
. simqi, fd(prval(1) genpr(fd_psp_hi)) changex(psp_hi_D1 .0415 1.026)

First Difference: psp_hi_D1 .0415 1.026

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |    .158793     .0840878    -.0105807    .3354312

Simqi generated the following new variable(s): fd_psp_hi

. 
. 
. setx psp_hi_D1 0

. simqi, pr listx

You have set the following values for the explanatory variables:

------------------------------------
 Variable |    Value     Description
----------+-------------------------
   con_hi |         0       median  
con_hi_D1 |         0       median  
   con_lo |         0       median  
con_lo_D1 |         0       median  
   psi_hi |         0       median  
psi_hi_D1 |         0       median  
   psi_lo |         0       median  
psi_lo_D1 |         0       median  
   psp_hi |         1         1     
psp_hi_D1 |         0         0     
   psp_lo |         0       median  
psp_lo_D1 |         0       median  
   pty_hi |         0       median  
pty_hi_D1 |         0       median  
   pty_lo |         0       median  
pty_lo_D1 |         0       median  
   vgd_hi |         0       median  
vgd_hi_D1 |         0       median  
   vgd_lo |         0       median  
vgd_lo_D1 |         0       median  
------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .8973377     .0752004     .6953428     .987106
            Pr(vote_l~r=1) |   .1026623     .0752004      .012894    .3046572

. 
. 
. * Difference in baseline probabilities
. 
. tabstat tr_vgd_con_hi, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
tr_vgd_con~i |  .1185833  .1227687 -.4660617 -.0914265 -.0321307  .1249308  .2723187  .3098009  .5275869
--------------------------------------------------------------------------------------------------------

. tabstat tr_pty_con_hi, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
tr_pty_con~i |  .0012824  .1208083 -.6464475 -.1916682  -.146937  .0006866  .1551942  .2066793  .3849653
--------------------------------------------------------------------------------------------------------

. tabstat tr_psi_con_hi, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
tr_psi_con~i |  .2142555  .1289066  -.381687 -.0093295  .0417958  .2213122  .3691725   .401848  .5877016
--------------------------------------------------------------------------------------------------------

. tabstat tr_psp_con_hi, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
tr_psp_con~i | -.0017579  .1158177 -.4737849 -.1998933 -.1432481  .0054918  .1288739  .1787649  .4435894
--------------------------------------------------------------------------------------------------------

. 
. 
. tabstat tr_pty_vgd_hi, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
tr_pty_vgd~i |  -.117301  .1217588 -.5331525 -.3088858 -.2661466 -.1226801  .0395589  .1011353  .3292407
--------------------------------------------------------------------------------------------------------

. tabstat tr_psi_vgd_hi, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
tr_psi_vgd~i |  .0956722  .1231661 -.2892929 -.1207528 -.0640195  .0985238  .2562204  .2974159  .4418642
--------------------------------------------------------------------------------------------------------

. tabstat tr_psp_vgd_hi, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
tr_psp_vgd~i | -.1203413   .115983 -.5017706 -.3047846 -.2637493 -.1149591  .0269966   .067831  .3864237
--------------------------------------------------------------------------------------------------------

. 
. 
. tabstat tr_psi_pty_hi, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
tr_psi_pty~i |  .2129731  .1222454 -.1991172 -.0002589  .0434964  .2190764  .3630891  .3979287  .5608562
--------------------------------------------------------------------------------------------------------

. tabstat tr_psp_pty_hi, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
tr_psp_pty~i | -.0030403  .1111775 -.4029162 -.2023783 -.1471155  .0042607  .1218191  .1709628  .3565509
--------------------------------------------------------------------------------------------------------

. 
. 
. tabstat tr_psp_psi_hi, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
tr_psp_psi~i | -.2160134  .1174487 -.5483147 -.3996511  -.362431 -.2237987  -.062211 -.0136571  .2257935
--------------------------------------------------------------------------------------------------------

. 
. 
. * Calculate difference in first differences
. 
. gen dif_vgd_con_hi = fd_vgd_hi - fd_con_hi

. gen dif_pty_con_hi = fd_pty_hi - fd_con_hi

. gen dif_psi_con_hi = fd_psi_hi - fd_con_hi

. gen dif_psp_con_hi = fd_psp_hi - fd_con_hi

. 
. tabstat dif_vgd_con_hi, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_vgd_co~i | -.0457123  .1764975 -.5821385 -.3346643 -.2627267 -.0476943  .1868657  .2502814  .6258062
--------------------------------------------------------------------------------------------------------

. tabstat dif_pty_con_hi, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_pty_co~i |  .0856973   .182933 -.4974675 -.2180506 -.1426919  .0895644  .3194618  .3791981  .8042545
--------------------------------------------------------------------------------------------------------

. tabstat dif_psi_con_hi, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_psi_co~i | -.0391168  .1652164  -.489603 -.3031549 -.2598898 -.0477842  .1878443  .2443369  .5418775
--------------------------------------------------------------------------------------------------------

. tabstat dif_psp_con_hi, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_psp_co~i | -.1995858  .1582058 -.6981893 -.4443764 -.3999188 -.2033157 -.0008772  .0668499  .3435673
--------------------------------------------------------------------------------------------------------

. 
. 
. gen dif_pty_vgd_hi = fd_pty_hi - fd_vgd_hi

. gen dif_psi_vgd_hi = fd_psi_hi - fd_vgd_hi

. gen dif_psp_vgd_hi = fd_psp_hi - fd_vgd_hi

. 
. tabstat dif_pty_vgd_hi, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_pty_vg~i |  .1314097  .1725231 -.4559153 -.1619073 -.0898194   .131383  .3542831  .4142756  .6704198
--------------------------------------------------------------------------------------------------------

. tabstat dif_psi_vgd_hi, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_psi_vg~i |  .0065956  .1522802 -.4083856 -.2390601 -.1806894  .0032822  .2088279  .2528226  .4823888
--------------------------------------------------------------------------------------------------------

. tabstat dif_psp_vgd_hi, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_psp_vg~i | -.1538735  .1432167 -.6984314 -.3853786 -.3346216 -.1623154  .0327788  .0906805  .2925326
--------------------------------------------------------------------------------------------------------

. 
. 
. gen dif_psi_pty_hi = fd_psi_hi - fd_pty_hi

. gen dif_psp_pty_hi = fd_psp_hi - fd_pty_hi

. 
. tabstat dif_psi_pty_hi, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_psi_pt~i | -.1248141  .1621805 -.6919273  -.379206 -.3335664 -.1292699  .0840973  .1457298  .4030585
--------------------------------------------------------------------------------------------------------

. tabstat dif_psp_pty_hi, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_psp_pt~i | -.2852831  .1500885 -.7743341 -.5317512 -.4728452 -.2899139 -.0898802 -.0286299  .2102656
--------------------------------------------------------------------------------------------------------

. 
. 
. gen dif_psp_psi_hi = fd_psp_hi - fd_psi_hi

. 
. tabstat dif_psp_psi_hi, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_psp~i_hi |  -.160469  .1328404  -.626454  -.369111 -.3256871 -.1635803  .0093132   .059697  .3277451
--------------------------------------------------------------------------------------------------------

. 
. 
. * Low-knowledge high-knowledge differences
. 
. * Calculate difference in first differences
. 
. gen tr_vgd_con_lo_hi = tr_vgd_con - tr_vgd_con_hi

. gen tr_pty_con_lo_hi = tr_pty_con - tr_pty_con_hi

. gen tr_psi_con_lo_hi = tr_psi_con - tr_psi_con_hi

. gen tr_psp_con_lo_hi = tr_psp_con - tr_psp_con_hi

. 
. tabstat tr_vgd_con_lo_hi, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
tr_vgd_~o_hi | -.0956978  .1875676 -.6443546 -.3946427 -.3352144 -.0999851  .1450535  .2225999  .5826832
--------------------------------------------------------------------------------------------------------

. tabstat tr_pty_con_lo_hi, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
tr_pty_~o_hi | -.2483254  .1966945 -.9593066 -.5421648 -.4831478 -.2591661  .0027089  .0931889  .5284426
--------------------------------------------------------------------------------------------------------

. tabstat tr_psi_con_lo_hi, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
tr_psi_~o_hi | -.3598865  .1925448 -.8739855 -.6587231   -.60425 -.3644209 -.1190992 -.0080724  .2940358
--------------------------------------------------------------------------------------------------------

. tabstat tr_psp_con_lo_hi, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
tr_psp_~o_hi | -.1969238  .1780724  -.804917 -.4727589 -.4160506 -.2027246  .0325795   .103772  .4105988
--------------------------------------------------------------------------------------------------------

. 
. 
. gen dif_con_lo_hi = fd_con - fd_con_hi

. gen dif_vgd_lo_hi = fd_vgd - fd_vgd_hi

. gen dif_pty_lo_hi = fd_pty - fd_pty_hi

. gen dif_psi_lo_hi = fd_psi - fd_psi_hi

. gen dif_psp_lo_hi = fd_psp - fd_psp_hi

. 
. tabstat dif_con_lo_hi, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_con_lo~i | -.3995512  .1853907 -.9255488 -.6972339 -.6280595 -.4036036 -.1546981  -.083352  .2373181
--------------------------------------------------------------------------------------------------------

. tabstat dif_vgd_lo_hi, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_vgd_lo~i |  -.047892  .1523853 -.5269998 -.2867028 -.2396476 -.0524667  .1572696  .2255397  .4024369
--------------------------------------------------------------------------------------------------------

. tabstat dif_pty_lo_hi, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_pty_lo~i | -.0860815  .1976988 -.7758706   -.43811 -.3334686 -.0906255  .1642849  .2573871  .4887308
--------------------------------------------------------------------------------------------------------

. tabstat dif_psi_lo_hi, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_psi_lo~i | -.0366815   .178763 -.6006471 -.3323638 -.2725517  -.031355  .1813995  .2508183  .4800555
--------------------------------------------------------------------------------------------------------

. tabstat dif_psp_lo_hi, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_psp_lo~i |  .1152882  .1483001 -.3078687 -.1262758 -.0824514  .1161985  .3071056  .3555443  .5521586
--------------------------------------------------------------------------------------------------------

. 
. 
. * Calculate difference in difference in first differences
. 
. gen dif_vgd_effect = dif_vgd_con - dif_vgd_con_hi

. gen dif_pty_effect = dif_pty_con - dif_pty_con_hi

. gen dif_psi_effect = dif_psi_con - dif_psi_con_hi

. gen dif_psp_effect = dif_psp_con - dif_psp_con_hi

. 
. tabstat dif_vgd_effect, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_vgd_ef~t |  .3516592  .2395328 -.4361941 -.0386888  .0534952  .3447494  .6694669  .7472461   1.12327
--------------------------------------------------------------------------------------------------------

. tabstat dif_pty_effect, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_pty_ef~t |  .3134696  .2639792 -.6512563 -.1267183 -.0126002  .3161555  .6566916  .7342443  1.181365
--------------------------------------------------------------------------------------------------------

. tabstat dif_psi_effect, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_psi_ef~t |  .3628697  .2583361 -.5084032 -.0690575  .0080866  .3659101  .7036358  .7774306  1.075547
--------------------------------------------------------------------------------------------------------

. tabstat dif_psp_effect, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_psp_ef~t |  .5148393  .2377881 -.2255286  .1204753  .2042464  .5217594  .8165279  .8974231  1.178288
--------------------------------------------------------------------------------------------------------

. 
. 
. drop b1-b20

. drop fd_con-dif_psp_effect

. 
. log close
      name:  <unnamed>
       log:  C:\Users\Scott\Documents\1805 Roadmaps\Table A5.log
  log type:  text
 closed on:   6 Jun 2018, 14:53:39
--------------------------------------------------------------------------------------------------------------------------
